Crack Identification in a Rotating Shaft via the Reverse Directional Frequency Response Functions
Author:
Affiliation:
1. Center for Noise and Vibration Control, Department of Mechanical Engineering, KAIST, Daejeon 305-701, Korea
2. Fellow ASME
3. Department of Aerospace Engineering and Sciences, University of Colorado at Boulder, Colorado, CO 80303
Abstract
Publisher
ASME International
Link
http://asmedigitalcollection.asme.org/vibrationacoustics/article-pdf/doi/10.1115/1.2981168/5587299/011012_1.pdf
Reference21 articles.
1. Development of an On-Line Rotor Crack Detection and Monitoring System;Imam;ASME J. Vib., Acoust., Stress, Reliab. Des.
2. Crack Detection and Vibration Characteristics of Cracked Shafts;Sekhar;J. Sound Vib.
3. Detection of a Rotor Crack Using a Harmonic Excitation and Nonlinear Vibration Analysis;Ishida;ASME J. Vibr. Acoust.
4. A Time Domain Method for the Localization of Cracks in Rotors;Seibold;J. Sound Vib.
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1. A Super-Harmonic Feature Based Updating Method for Crack Identification in Rotors Using a Kriging Surrogate Model;Applied Sciences;2019-06-14
2. Finite Element Analysis and Experimental Validation of Transfer Function of Rotating Shaft System With Both an Open Crack and Anisotropic Support Stiffness;Journal of Vibration and Acoustics;2018-10-16
3. Localization of breathing cracks in stepped rotors using super‐harmonic characteristic deflection shapes based on singular value decomposition in frequency domain;Fatigue & Fracture of Engineering Materials & Structures;2017-03-06
4. Multicrack Localization in Rotors Based on Proper Orthogonal Decomposition Using Fractal Dimension and Gapped Smoothing Method;Shock and Vibration;2016
5. Crack detection in pile by measurements of frequency response function;Nondestructive Testing and Evaluation;2015-09-15
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